GNSS derived TEC data ingestion into IRI 2012

Migoya-Orué, Yenca; Nava, B.; Radicella, S. M.; Alazo-Cuartas, K.

doi:10.1016/j.asr.2014.12.033

Cited by 23 publications

(6 citation statements)

References 17 publications

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“…(2002), Migoya‐Orué et al. (2015), Ssessanga et al. (2015), and Habarulema and Ssessanga (2016) used GNSS vTEC data to determine R 12 and/or IG 12 equivalent indices.…”

Section: Data Assimilation Into Iri and Real‐time Irimentioning

confidence: 99%

The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark

Bilitza

Pezzopane

Truhlík

et al. 2022

Reviews of Geophysics

137

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The terrestrial ionosphere is a plasma, that is, an ionized gas consisting of free electrons and ions. It is part of the Earth's atmosphere and is produced by solar radiation ionizing the neutral gas constituents. Only a small fraction of the neutral atmosphere is ionized. Typical ratios of electron to neutral gas density are 10 −2 at the top of the ionosphere (at a height of about 1,000 km), 10 −3 at the height of the ionospheric absolute electron density maximum (located roughly between 200 and 450 km of height), and 10 −8 at the bottom of the ionosphere (at a height of about 100 km). These limits mark the altitude boundaries of the ionosphere but they must not be considered fixed. They are highly variable in both space and time, in particular this is the case for the upper limit which marks the separation between the ionosphere below it and the plasmasphere above it (

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“…(2002), Migoya‐Orué et al. (2015), Ssessanga et al. (2015), and Habarulema and Ssessanga (2016) used GNSS vTEC data to determine R 12 and/or IG 12 equivalent indices.…”

Section: Data Assimilation Into Iri and Real‐time Irimentioning

confidence: 99%

The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark

Bilitza

Pezzopane

Truhlík

et al. 2022

Reviews of Geophysics

137

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“…The new information enhances each resource: the total electron content is now provided with a certain understanding of the profile shape, while the bottomside density specification is now accompanied by a certain characterization of the supra-peak plasma. The importance of such τ computation has been recognized in different applied and academic domains, ranging from planning and operation of spacecraft navigation and communication systems, where EST improves understanding of the temporal and spatial behavior of TEC [62], to model development and validation [63,64], where the ingestion of EST observations can reveal weaknesses in the model EST estimation (by comparing the model-retrieved N m F2 values with the experimental ones).…”

Section: Importance Of Est For Monitoring the Ionospherementioning

confidence: 99%

Global Monitoring of Ionospheric Weather by GIRO and GNSS Data Fusion

et al. 2022

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Prompt and accurate imaging of the ionosphere is essential to space weather services, given a broad spectrum of applications that rely on ionospherically propagating radio signals. As the 3D spatial extent of the ionosphere is vast and covered only fragmentarily, data fusion is a strong candidate for solving imaging tasks. Data fusion has been used to blend models and observations for the integrated and consistent views of geosystems. In space weather scenarios, low latency of the sensor data availability is one of the strongest requirements that limits the selection of potential datasets for fusion. Since remote plasma sensing instrumentation for ionospheric weather is complex, scarce, and prone to unavoidable data noise, conventional 3D-var assimilative schemas are not optimal. We describe a novel substantially 4D data fusion service based on near-real-time data feeds from Global Ionosphere Radio Observatory (GIRO) and Global Navigation Satellite System (GNSS) called GAMBIT (Global Assimilative Model of the Bottomside Ionosphere with Topside estimate). GAMBIT operates with a few-minute latency, and it releases, among other data products, the anomaly maps of the effective slab thickness (EST) obtained by fusing GIRO and GNSS data. The anomaly EST mapping aids understanding of the vertical plasma restructuring during disturbed conditions.

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“…The inferred-IG values thus obtained can be used to generate a 3-D representation of the ionosphere (Migoya-Oruè et al . 2015), and retrieve the full Ne ( h ) with IRI2012, as in this study.…”

Section: Data Ingestion Techniquementioning

confidence: 99%

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

et al. 2017

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Within the framework of the AUSPICIO (AUtomatic Scaling of Polar Ionograms and Co-operative Ionospheric Observations) project, a limited sample of ionograms recorded mostly in 2001 and 2009, and to a lesser extent in 2006–07 and 2012–15, at the ionospheric observatories of Hobart and Macquarie Island (mid-latitude), Comandante Ferraz and Livingstone Island (high latitude), and Casey, Mawson, Davis and Scott Base (inside the Antarctic Polar Circle (APC)) were considered to study the capability of the NeQuick2 and IRI2012 models for predicting the behaviour of the ionosphere at mid- and high latitudes and over the Antarctic area. The applicability of NeQuick2 and IRI2012 was evaluated as i) climatological models taking as input the F10.7 solar activity index and ii) assimilative models ingesting the foF2 and hmF2 measurements obtained from the electron density profiles provided by the Adaptive Ionospheric Profiler (AIP). The statistical analysis results reveal that the best description of the ionosphere’s electron density is achieved when the AIP measurements are ingested into the NeQuick2 and IRI2012 models. Moreover, NeQuick2 performance is far better than IRI2012 performance outside the APC. Conversely, the IRI2012 model performs better than the NeQuick2 model inside the APC.

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GNSS derived TEC data ingestion into IRI 2012

Cited by 23 publications

References 17 publications

The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark

The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark

Global Monitoring of Ionospheric Weather by GIRO and GNSS Data Fusion

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

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